SME Data Scientist Lead
About The Position
SAIC is seeking a Subject Matter Expert (SME) – Data Scientist Lead to support the U.S. Transportation Command (USTRANSCOM) Joint Distribution Process Analysis Center (JDPAC V) at Scott AFB, Illinois. The role serves as lead data scientist and principal technical advisor for advanced analytics and data engineering initiatives across the Department of Defense sustainment supply chain and global distribution enterprise. As USTRANSCOM transitions its analytical backbone from legacy Teradata systems to modern cloud environments, including Palantir/Maven Smart System and AWS/War Data Platform, this position leads the architecture, development, and operationalization of analytical models and decision-support tools. The role combines technical leadership, hands-on data science, and stakeholder collaboration to provide actionable intelligence for global mobility, deployment, and distribution operations. The position leads cloud modernization and data engineering; develops statistical, operations research, and machine-learning capabilities; delivers dashboards, automated workflows, and operational prototypes; and mentors a multidisciplinary analytics team. It also coordinates requirements with logistics subject matter experts, data stewards, and cloud engineers in an agile delivery framework.
Requirements
- Active DoD Secret clearance.
- U.S. citizenship.
- Bachelor’s degree in Data Science, Operations Research, Mathematics, Statistics, Computer Science, Systems Engineering, or a related technical field, plus 10 or more years of progressive experience in data science, advanced analytics, or operations research; alternatively, a master’s degree with 8 or more years of experience.
- Demonstrated proficiency in SQL and relational database concepts, including enterprise data architectures and migration patterns such as Teradata to cloud repositories.
- Hands-on experience with modern cloud analytical ecosystems such as AWS and Palantir.
- Advanced proficiency in Python for data engineering, statistical modeling, and machine learning.
- Practical experience applying linear or nonlinear optimization, simulation, network analysis, or predictive modeling to complex operational problems.
- Experience building self-service dashboards and decision-support tools using Microsoft Power BI, Qlik, and/or cloud-native analytics platforms such as Databricks or Palantir.
- Experience automating workflows and notifications with Microsoft Power Automate.
- Demonstrated ability to lead technical teams, manage sprint backlogs, and explain advanced analytical concepts to non-technical operational stakeholders.
Nice To Haves
- Master’s or Ph.D. in Operations Research, Data Science, or Applied Mathematics.
- Hands-on experience with the Palantir/Maven Smart System ecosystem, including Workshop, Contour, Quiver, Foundry, or ontology management.
- Hands-on experience with the AWS/War Data Platform ecosystem.
- Familiarity with DoD sustainment supply chain, joint deployment, and transportation systems such as IGC, GATES, GDSS, CMOS, GFM, and IBS.
- Experience deploying MLOps pipelines in DoD enterprise cloud environments.
- Agile certifications or experience leading data science efforts within Agile/DevSecOps frameworks.
Responsibilities
- Advise USTRANSCOM leadership and JDPAC stakeholders on analytic strategy, modern data architecture, and cloud adoption.
- Lead migration of legacy Teradata analytical workflows and pipelines to enterprise cloud environments, primarily Palantir/Maven Smart System and AWS/War Data Platform.
- Translate operational, distribution, and supply chain questions into mathematical models, predictive algorithms, and automated analytical pipelines.
- Design, implement, and govern data pipelines and ontologies across AWS and Palantir environments.
- Ingest, harmonize, and curate enterprise-scale logistics data from DoD transportation and supply systems, including IGC and related distribution feeds.
- Build data transformations and workflows using modern cloud data tools and Power Automate to streamline recurring reporting.
- Formulate and deploy statistical, operations research, and machine-learning capabilities for sustainment supply-chain readiness, capacity constraints, and network distribution.
- Develop supply and transportation demand forecasts, route optimization, port throughput and bottleneck analyses, and supply-chain vulnerability, risk, and resilience models.
- Deliver operational prototypes and simulation tools assessing time, cost, asset visibility, and mission trade-offs under dynamic conditions.
- Build interactive decision-support applications, dashboards, and exploratory tools using Palantir Workshop, Contour, Quiver, Qlik, Databricks, and Microsoft Power BI.
- Implement automated data alerts, workflows, and process integrations using Power Automate.
- Prepare executive briefings, technical documentation, and visual narratives for senior military and civilian leaders.
- Lead and mentor data scientists, operations research analysts, and data engineers in analytics engineering, version control, and collaborative development practices.
- Coordinate cross-functional requirements with logistics SMEs, data stewards, and cloud engineers within an agile delivery framework.
Benefits
- Equal Opportunity Employer
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
